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相关概念视频

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

136
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
136
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

233
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
233
Power System Distribution01:25

Power System Distribution

261
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
261
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

668
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
668
Distributed Loads01:19

Distributed Loads

555
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
555
Maximum Power Transfer01:16

Maximum Power Transfer

286
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
286

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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基于边缘计算节点的电力系统低延迟资源调度模型.

Ying Zhao1, Hua Ye2

  • 1Yunnan Electric Power Grid Company, Kunming, 650011, Yunnan, China. anxing483951@163.com.

Scientific reports
|September 5, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用边缘计算来管理大规模智能电网数据的双相启发式算法. 该算法优化了虚拟机的放置和排序,大大减少了电源系统计算时间,提高了资源利用率.

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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学

背景情况:

  • 在电力系统中智能设备的扩散导致网络节点的指数增长.
  • 对大规模智能电网数据的有效处理对于稳定的电力系统运行至关重要,特别是在区域间和电压级别之间的合作中.
  • 电力系统当前的复杂计算在减少运行时间和提高执行效率方面面临限制.

研究的目的:

  • 为电力系统分布式计算提出基于边缘计算的高效双相启发式算法.
  • 为了最大限度地减少计算时间并提高智能电网数据处理中的执行效率.
  • 通过优化虚拟机配置来提高系统资源利用率.

主要方法:

  • 提出了一个利用边缘计算的双相启发式算法.
  • 关键路径算法用于在主和协调分区中对虚拟机进行测序,以尽量减少计算时间.
  • 最小切割算法用于分区,以减少交通互动.
  • 一个改进的最佳匹配算法被用于虚拟机放置,以防止低效的配置.

主要成果:

  • 拟议的算法证明了计算效率的提高,特别是当协调分区计算在目标分区内时.
  • 与云计算相比,边缘计算与数据源的接近导致数据传输时间缩短.
  • 该算法有效地减少了电力系统的计算时间,并提高了系统资源利用率.

结论:

  • 开发的算法为电力系统边缘计算中的虚拟机配置提供了有效的解决方案.
  • 这种方法显著减少了计算时间,并提高了智能电网中的系统资源效率.
  • 边缘计算为云计算提供了可行和高效的替代方案,用于处理大规模的电力系统数据.